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The solution is designed around your real workflow, not the other way round.
Architecture, development, testing, production and monitoring – all from one team.
Private models and protected environments – your competitive advantage stays with you.
A working prototype in weeks, then iterative development towards the full solution.
We analyse your processes and find where AI saves the most time and money.
We build a working prototype on a real process of yours in weeks, not months.
We integrate the solution with the systems and data you already use.
Your team learns to work with the AI and to control its output.
We monitor quality, improve accuracy and grow the solution with your business.
We work with your systems – you don't have to replace your software to use AI.
We combine AI with years of custom software experience – agents built on a solid engineering foundation.
We measure the outcome – every rollout has clear metrics: hours saved, response time, conversions.
A pilot project usually starts at levels comparable to a small software project. After the audit you get a fixed quote for the pilot and an estimate for the full solution.
A working pilot – 4 to 8 weeks. A full production solution – 2 to 6 months depending on scope and integrations.
Leading LLMs (cloud and private), Python/Node.js for orchestration, vector databases for RAG, and established MLOps and monitoring practices.
Our architecture is modular – switching a model is configuration, not a rewrite. Support includes upgrades to newer, better models.
Yes – quality monitoring, fixes, model cost optimisation and development of new features.